Impact-Aware Conformance Checking

Arava Tsoury; Pnina Soffer; Iris Reinhartz-Berger

doi:10.1007/978-3-030-37453-2_13

Impact-Aware Conformance Checking

Arava Tsoury, Pnina Soffer, Iris Reinhartz-Berger

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Alignment-based conformance checking techniques detect and quantify deviations of process execution from expected behavior as depicted in process models. However, often when deviations occur, additional actions are needed to remedy and restore the process state. These would seem as further reducing conformance according to existing measures. This paper proposes a conformance checking approach which considers the response to unexpected deviations during process execution, by analyzing the data updates involved and their impact on the expected behavior. We evaluated our approach in an experimental study, whose results show that our approach better captures adapted behavior in response to deviations, as compared to standard fitness measurement.

Original language	English
Title of host publication	Business Process Management Workshops - BPM 2019 International Workshops, Revised Selected Papers
Editors	Chiara Di Francescomarino, Remco Dijkman, Uwe Zdun
Publisher	Springer
Pages	147-159
Number of pages	13
ISBN (Print)	9783030374525
DOIs	https://doi.org/10.1007/978-3-030-37453-2_13
State	Published - 2019
Event	International Workshops on AI4BPM, BP-Meet-IoT, BPI, BPMinDIT, BPMS2, DEC2H, MIEL, PM-DiPro, PODS4H, PQ, SPBP, VEnMo 2019 held at the 17th International Conference on Business Process Management, BPM 2019 - Vienna, Austria Duration: 1 Sep 2019 → 6 Sep 2019

Publication series

Name	Lecture Notes in Business Information Processing
Volume	362 LNBIP
ISSN (Print)	1865-1348
ISSN (Electronic)	1865-1356

Conference

Conference	International Workshops on AI4BPM, BP-Meet-IoT, BPI, BPMinDIT, BPMS2, DEC2H, MIEL, PM-DiPro, PODS4H, PQ, SPBP, VEnMo 2019 held at the 17th International Conference on Business Process Management, BPM 2019
Country/Territory	Austria
City	Vienna
Period	1/09/19 → 6/09/19

Bibliographical note

Funding Information:
Acknowledgment. This research is supported by the Israel Science Foundation under grant agreements 856/13 and 669/17.

Publisher Copyright:
© 2019, Springer Nature Switzerland AG.

Keywords

Alignment
Business processes
Conformance checking
Data impact analysis

ASJC Scopus subject areas

Management Information Systems
Control and Systems Engineering
Business and International Management
Information Systems
Modeling and Simulation
Information Systems and Management

Access to Document

10.1007/978-3-030-37453-2_13

Cite this

Tsoury, A., Soffer, P., & Reinhartz-Berger, I. (2019). Impact-Aware Conformance Checking. In C. Di Francescomarino, R. Dijkman, & U. Zdun (Eds.), Business Process Management Workshops - BPM 2019 International Workshops, Revised Selected Papers (pp. 147-159). (Lecture Notes in Business Information Processing; Vol. 362 LNBIP). Springer. https://doi.org/10.1007/978-3-030-37453-2_13

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abstract = "Alignment-based conformance checking techniques detect and quantify deviations of process execution from expected behavior as depicted in process models. However, often when deviations occur, additional actions are needed to remedy and restore the process state. These would seem as further reducing conformance according to existing measures. This paper proposes a conformance checking approach which considers the response to unexpected deviations during process execution, by analyzing the data updates involved and their impact on the expected behavior. We evaluated our approach in an experimental study, whose results show that our approach better captures adapted behavior in response to deviations, as compared to standard fitness measurement.",

keywords = "Alignment, Business processes, Conformance checking, Data impact analysis",

author = "Arava Tsoury and Pnina Soffer and Iris Reinhartz-Berger",

note = "Funding Information: Acknowledgment. This research is supported by the Israel Science Foundation under grant agreements 856/13 and 669/17. Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; International Workshops on AI4BPM, BP-Meet-IoT, BPI, BPMinDIT, BPMS2, DEC2H, MIEL, PM-DiPro, PODS4H, PQ, SPBP, VEnMo 2019 held at the 17th International Conference on Business Process Management, BPM 2019 ; Conference date: 01-09-2019 Through 06-09-2019",

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doi = "10.1007/978-3-030-37453-2_13",

language = "English",

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series = "Lecture Notes in Business Information Processing",

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Tsoury, A, Soffer, P & Reinhartz-Berger, I 2019, Impact-Aware Conformance Checking. in C Di Francescomarino, R Dijkman & U Zdun (eds), Business Process Management Workshops - BPM 2019 International Workshops, Revised Selected Papers. Lecture Notes in Business Information Processing, vol. 362 LNBIP, Springer, pp. 147-159, International Workshops on AI4BPM, BP-Meet-IoT, BPI, BPMinDIT, BPMS2, DEC2H, MIEL, PM-DiPro, PODS4H, PQ, SPBP, VEnMo 2019 held at the 17th International Conference on Business Process Management, BPM 2019, Vienna, Austria, 1/09/19. https://doi.org/10.1007/978-3-030-37453-2_13

Impact-Aware Conformance Checking. / Tsoury, Arava; Soffer, Pnina ; Reinhartz-Berger, Iris.
Business Process Management Workshops - BPM 2019 International Workshops, Revised Selected Papers. ed. / Chiara Di Francescomarino; Remco Dijkman; Uwe Zdun. Springer, 2019. p. 147-159 (Lecture Notes in Business Information Processing; Vol. 362 LNBIP).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Tsoury, Arava

AU - Soffer, Pnina

AU - Reinhartz-Berger, Iris

N1 - Funding Information: Acknowledgment. This research is supported by the Israel Science Foundation under grant agreements 856/13 and 669/17. Publisher Copyright: © 2019, Springer Nature Switzerland AG.

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N2 - Alignment-based conformance checking techniques detect and quantify deviations of process execution from expected behavior as depicted in process models. However, often when deviations occur, additional actions are needed to remedy and restore the process state. These would seem as further reducing conformance according to existing measures. This paper proposes a conformance checking approach which considers the response to unexpected deviations during process execution, by analyzing the data updates involved and their impact on the expected behavior. We evaluated our approach in an experimental study, whose results show that our approach better captures adapted behavior in response to deviations, as compared to standard fitness measurement.

AB - Alignment-based conformance checking techniques detect and quantify deviations of process execution from expected behavior as depicted in process models. However, often when deviations occur, additional actions are needed to remedy and restore the process state. These would seem as further reducing conformance according to existing measures. This paper proposes a conformance checking approach which considers the response to unexpected deviations during process execution, by analyzing the data updates involved and their impact on the expected behavior. We evaluated our approach in an experimental study, whose results show that our approach better captures adapted behavior in response to deviations, as compared to standard fitness measurement.

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ER -

Impact-Aware Conformance Checking

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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